Alternatives to GLM-OCR
For each task GLM-OCR is listed in, the highest-ranked other options of the same kind, ranked only from public benchmarks.
Documents & OCR: models
S
GLM-OCR · Local · 95 on OmniDocBench v1.6 (end-to-end, v1.6_full)
| Tier | Name | Approach | Runs | Rated by | Price | Skill | Compare |
|---|---|---|---|---|---|---|---|
| S |  TeleOCRXingChen-AGI | Models | Local | 97 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~5 GB VRAM | — | vs GLM-OCR |
| S |  OvisOCR2ATH-MaaS | Models | Local | 96 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~4 GB VRAM | — | vs GLM-OCR |
| S |  PaddleOCR-VL-1.6Baidu (PaddlePaddle) | Models | Local | 96 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~4 GB VRAM | — | vs GLM-OCR |
| S |  MinerU2.5-Pro-2605-1.2BOpenDataLab (Shanghai AI Laboratory) | Models | Local | 96 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~4 GB VRAM | — | vs GLM-OCR |
| S |  Unlimited-OCRBaidu | Models | Local | 94 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~8 GB VRAM | — | |
| S |  Qianfan-OCRBaidu | Models | Local | 94 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~11 GB VRAM | — | |
| S |  Youtu-ParsingTencent (Youtu) | Models | Local | 94 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~7 GB VRAM | — | |
| S |  FireRed-OCRFireRed Team | Models | Local | 93 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~6 GB VRAM | — |
Tiers come only from public benchmarks; tools without a result of their own inherit the tier of the best model they offer. How we rank.